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Improvements to DynamicPPLBenchmarks (#346)

* bigboy update to benchmarks

* make models return random variables as NamedTuple as it can be useful for downstream tasks

* add benchmarking of evaluation with SimpleVarInfo with NamedTuple

* added some information about the execution environment

* added judgementtable_single

* added benchmarking of SimpleVarInfo, if present

* added ComponentArrays benchmarking for SimpleVarInfo

* formatting

* Apply suggestions from code review

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Update benchmarks/benchmarks.jmd

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Benchmarking CI

* Julia script for benchmarking on top of current setup

* keep old results for reference

* updated benchmarking setup

* applied suggested changes

* updated benchmarks/README.md

* setup benchmarking CI

* Update benchmark models (#826)

* Update models to benchmark plus small style changes

* Make benchmark times relative. Add benchmark documentation.

* Choose whether to show linked or unlinked benchmark times

* Make table header more concise

* Make benchmarks not depend on TuringBenchmarking.jl, and run `]dev ..` (#834)

* Make benchmarks not depend on TuringBenchmarking.jl

* Make benchmarks.jl dev the local DDPPL version

* Add benchmarks compat bounds

* Use ForwardDiff with dynamic benchmark model

* Benchmarking.yml: now comments raw markdown table enclosed in triple backticks

* Benchmarking.yml: now includes the SHA of the DynamicPPL commit in Benchmark Results comment

* Benchmark more with Mooncake

* Add model dimension to benchmark table

* Add info print

* Fix type instability in benchmark model

* Remove done TODO note

* Apply suggestions from code review

Co-authored-by: Penelope Yong <penelopeysm@gmail.com>

* Fix table formatting bug

* Simplify benchmark suite code

* Use StableRNG

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Co-authored-by: H... (continued)

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